About

We are an interdisciplinary team of radiologists, computer scientists, and researchers who work closely together to develop AI solutions with a strong focus on clinical applicability.

Our research focuses on two main areas: image-based AI algorithms and text-based AI algorithms. In the area of image-based AI, we develop deep learning models for tasks such as segmentation, detection, and classification of pathologies on various medical imaging modalities.

In the area of text-based AI, we explore the potential of large language models for question answering, information extraction, text summarization, and workflow optimization in radiology.

We are committed to open science and reproducibility. We aim to make our datasets, code, and trained models publicly available whenever possible to foster collaboration and accelerate progress in the field.

Principal Investigators

Lisa Adams

Keno Bressem

Team

Fares Al Mohamad

Felix Busch

Felix Dorfner

Hartmut Häntze

Lena Hoffmann

Falko Köhn

Lina Xu

Andrei Zhukov

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